Scikit-learn is a Python module for machine learning, built on the basis of scipy.
Main Features:
- Easy-to-operate, efficient data mining and data analysis
- No access restrictions and can be reused in any situation
- Based on NumPy, SciPy and Matplotlib
- --BSD License with commercial open source agreement
Important Links:
- Official source code report: Https://github.com/scikit-learn/scikit-learn
- HTML Document (Stable): http://scikit-learn.org
- HTML Document (development version): http://scikit-learn.org/dev/
- Download version: http://sourceforge.net/projects/scikit-learn/files/
Related dependencies:
- Test passes on python2.6+ and python3.3+.
- numpy>=1.6.1,scipy>=0.9, as well as the C + + compiler.
- Running the sample code requires matplotlib>=0.99.
- Running a test case requires nose>=0.10.
- The configuration file is based on Ubuntu10.04 LTS.
Project home: http://scikit-learn.org/stable/documentation.html
GitHub Home: Https://github.com/scikit-learn/scikit-learn
http://hao.jobbole.com/python-scikit-learn/
http://code.csdn.net/news/2819741
[Scikit-learn]-Introduction
